Study Designs - Chapter 7 Flashcards

1
Q

Observational study

A

does not involve any intervention, experiment or otherwise. Such a study may be one in which nature is allowed to take its course, with changes in one characteristic being studied in relation to changes in other characteristics

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2
Q

Experimental

A

exposure conditions are under the direct control of the investigator

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3
Q

Two types of Observational studies: Descriptive

A

**Descriptive: **
* distribution of disease by person, place and time
* **Little information available **on phenomena
* NO prior hypothesis about exposure (E) →outcome (O) relationships
* Hypothesis generating
* Designed only to describe existing distribution of variables; who, what, when, why, where
* Study association not causation; things are correlated,

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4
Q

Two types of Observational studies: Analytic

A

determinants of a disease by testing the hypotheses formulated from descriptive studies, with the ultimate goal of judging whether a particular exposure causes or prevents disease [association]
Testing hypothesis about exposure outcome relationship

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5
Q

D - Case reports

A

In-depth, textual description of a single patient
Describe somethign unusual to alert others
Limitations
- cases are not randomly selected
- no comparision population
- cannot test hypothesis

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6
Q

D - Case series

A

Textual or statistical analysis of cases

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7
Q

D - Descriptive studies based on rates

A
  • Combine data on **population based set of cases with denominator **data
  • Quantify burden of disease
    ** Hypothesis generating
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8
Q

D - Ecologoical studies

A
  • Studies of groups
  • Correlation between group measures of exposure and outcome
  • unit of analysis is group
  • geographical comparision
  • time trend analysis
    Limitations
  • cannot adjust well for confounders
  • prone to ecological fallacy
  • wide variability in summary of exposure
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9
Q

Analytic - Cross-sectional

A
  • at one point in time
  • snapshot
    * study of prevelance
  • temporal sequence cannot be determined
  • lenght bias (people with long duration of disease overrepresented, people with rare short duration underrepresented)
  • exposure outcome relationship studied at the same time
  • Has a comparision group
  • impossible to ascertain temporal sequence as E & O is being studied at the same time
    Limitations
  • short duration disease get under represented
  • long duration disease get over represented
  • Prevalence-incidence bias
  • unsuitable to study rare outcome
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10
Q

Analytic - Case-Control

A
  • has a comparision group
  • outcome comes first and then we go back to find out what exposure was

Limitations
- Risk of the disease cannot be obtained because cases and control are determined by the investigator it is not a random selection, not generalizable

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11
Q

Analytic - Cohort

A
  • select a cohort (a group of people)
  • observe who is exposed and who is unexposed
  • “wait” for the outcome of interest
  • Compare the outcome among the exposed and unexposed
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12
Q

Hierarchy of populations

A
  1. Target pop: Largest component; results may be generalized ; iv drug users in canada
  2. Source pop: Sampling frame; where do we see the iv drug users, hospitals, clinics etc.
    3. Eligible pop: Intended sample, random sample of hospital and clinic where they are found
    4.** study pop:** those who are eligible and said yes
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13
Q

Absolute must to take Incident cases in Case-Control study Why?

A

**Incident cases **= Researchers can be **more confident about the temporal sequence **as the new cases got exposed to something and now we see the outcome

If we select **Prevelant cases **= they already have the disease, we dont know how long ago or what is the duration, there is recall bias introduced here

The reason is that any risk
factors we may identify in a study using prevalent cases may be
related more to survival with the disease than to the development of the disease (incidence).

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14
Q

Primary Base for Case-Control study

A

Defined by the population investigator wishes to target. all cases assumed to be identifiable. e.g. population of Canada

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15
Q

Secondary Base for Case-Control study

A

if we cannot identify all the cases in the population, we first identify the cases and then define the study base, or where they came from. e.g. cases = patients treated with melanoma in UAH ; Secondary base = all patients who would have been treated in UAH if they had melanoma

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16
Q

Benefits of cross-sectional study and cohort study

A

Benefits of the repeated cross-sectional study design
* Not impacted by aging
* Better estimate of prevalence

Benefits of the **cohort study **design over the repeated crosssectional
study?
* Allows for studying temporal associations
* Allows for studying incidence

17
Q

Cases

A

subjects who have developed the outcome of interest, have the disease

18
Q

Controls

A

** Do not have the disease; **subjects who reflect the exposure pattern for the source population (population at risk) from which the cases arose

19
Q

Neighbourhood controls

A

interviewers are instructed to identify
the home of a case as a starting point
, and from there walk past a
specified number of houses in a specified direction and seek the
first household that contains an eligible control.

20
Q

Selecting controls using Random Digit Dialing

A

sampling of residential phone numbers; limitations gives us the random sample of phone number not the controls not all controls have phone numebrs.

21
Q

Matching in case-control studies

A

Matching is defined as the process of selecting the controls so that they are similar to the cases in certain
characteristics, such as age, race, sex, socioeconomic status, and
occupation. Matching may be of two types: (1) group matching (proportion of control is same s proportion of cases) and
(2)
individual matching.
(e.g. 45 yr old white women case is matched with 45 yr old white women contrl

22
Q

case-control strength vs weakness

A

Strength
* Efficient for** rare diseases** and diseases with long induction and latent period. [because we already have the data with us, we are going back in time to identify the exposure]

  • Can evaluate many risk factors for the same disease [many exposure could have caused the disease]

Weakness
* Inefficient for rare exposures

  • Vulnerable to selection bias
  • Vulnerable to information bias
  • Difficult to infer temporal relationship between exposure and disease
23
Q

Hospital controls

A

used most often cases selected from a hosptial population.
Illnesses that make ‘good hospital controls’ are those UNRELATEDto the risk factor(s) under study.

24
Q

Selection of control in a case-control study

A

Cumulative - controls selected at the end of the specified observation period
Case cohort - controls taken at the begining of the observation period; these controls can later become cases.
**Incidence density case-control: **for each case, 1+ controls are randomly sampled from the cohort at risk at the time of an incident case event. Sampled controls can later become cases.

25
Q

types of exposure and outcome that can be studied in Cohort study

A

Multiple exposure can be studied at the same time; any exposure lifestyle, chronic, point, socio demographic factors
Any agent - pathological agents,
**Any outcome **can be studied mortality, morbidity…

26
Q

Types of cohort

A
  1. Closed: enrollment at a closed (fixed) time, no one joins all enrolled at one poitn in time.
  2. **Open: **continued enrollment
  3. Dynamic: participants come and go
27
Q

type of cohort studies

A

**Prospective: **going forward in time [most common] EXPOSURE OUTCOME ASCERTAINED AS THEY OCCUR IN THE STUDY
Retrospective/historical: identifying the cohort back in time .e.g. exposure is somewhere in the past ; EXPOSURE ASCERTAINED FROM PAST RECORDS, OUTCOME DETERMINED WHEN STUDY BEGAN

28
Q

when do you use a case-control study?

A

At an early stage in our search for an etiology, we may suspect any one of several exposures, but we may not have evidence, and certainly no strong evidence, to suggest an association of any one of the suspect exposures with the disease in question. Using the case-control design, we compare people with the disease (cases) and people without the disease. We can then explore the possible roles of a variety of exposures or characteristics in causing the disease.
First step in determining if an exposure is related to the increased risk of the disease. ; after this we can do a cohort study to further elucidate this relationship.

29
Q

Repeated cross-sectional studies

A

Same information collected from independent samples over time. examine changes in population over time. e.g. prevalance of a disease

30
Q

Stratification

A

Dividing your sample into sub-group based on certain characterisitics; it helps to study heteroginty across and within groups

31
Q

Ecological fallacy

A

“The bias that may occur because an association observed between variables on an aggregate level does not necessarily represent the association that exists a**t an individual **level.”

32
Q

what do you need to keep in mind when selecting controls in a case-control study?

A

Make sure tht the cases and controls are coming from the same study population.

33
Q

In case-control studies, risk of the disease CANNOT be obtained because…

A

…the proportion of cases vs. controls in the study population is determined by the investigator
.
it
does not reflect the true prevalence of the disease in the population

33
Q

When OR is a good(ish) estimate of RR?

A

When casesare representative, with regard tohistory of exposure, of all people with the disease in the population from which the cases were drawn.
*
When the controlsare representative,with regard tohistory of exposure, of all people without the diseasein the population from which the cases were drawn.
*
The risk of the disease is low (rare disease assumption).

34
Q

Why is it better to take incidence cases rather than prevalent cases in case-control study?

A
  1. incidence cases helps in temporal sequence of exposure and outcome
  2. Prevalence case can introduce recall bias if disease happened long ago.
  3. Prevalence - More likely to include long-term survivors
35
Q

Primary study base

A

The base is defined by the population experience that the investigator wishes to target
*
The cases are subjects within the base who develop D
*
All cases are assumed to be identifiable
*
Example: population in Canada in 2022

36
Q

Secondary base

A

If ascertainment of all cases is not possible →we identify cases, and they define the study base
*
Controls are people who would have been recognized as cases if they had developed disease
*
Example: cases are patients treated at the UAH for melanoma in 2022; the base would be all patients who would have been treated at UAH if they developed melanoma in 2022